Name: Data Provenance and Data Management in eScience (Studies in Computational Intelligence)
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 56957391
Availability: OutOfStock

Data Provenance and Data Management in eScience

Studies in Computational Intelligence

By Qing Liu (Edited by), Quan Bai (Edited by), Stephen Giugni, Darrell Williamson (Edited by)

Rating

Format

Paperback, 184 pages

Published

Germany, 1 September 2014

This book covers important aspects of fundamental research in data provenance and data management(DPDM), including provenance representation and querying, as well as practical applications in such domains as clinical trials, bioinformatics and radio astronomy.

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Product Description

EAN

9783642441585

ISBN

3642441580

Writer

Qing Liu, Quan Bai, Stephen Giugni, Darrell Williamson

Publisher

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Other Information

biography

Dimensions

23.4 x 15.6 x 1.1 centimeters (3.05 kg)

Provenance Model for Randomized Controlled Trials.- Evaluating Workflow Trust Using Hidden Markov Modeling and Provenance Data.- Unmanaged Workflows: Their Provenance and Use.- Sketching Distributed Data Provenance.- A Mobile Cloud with Trusted Data Provenance Services for Bioinformatics Research.- Data Provenance and Management in Radio Astronomy: A Stream Computing Approach.- Using Provenance to Support Good Laboratory Practice in Grid Environments.

Reviews

From the reviews:“This book, a compilation of independent chapters, reflects the research work of several groups in the field of data provenance and data management for eScience. … the book will be particularly useful for researchers in the area of data provenance, as well as for those in data management in the application domains covered in the book.” (Sergio Ilarri, Computing Reviews, April, 2013)

Table of Contents

Reviews